ProSecCo: progressive sequence mining with convergence guarantees
Abstract We present ProSecCo, an algorithm for the progressive mining of frequent sequences from large transactional datasets: It processes the dataset in blocks and it outputs, after having analyzed each block, a high-quality approximation of the collection of frequent sequences. ProSecCo can be u...
Main Authors: | Servan-Schreiber, Sacha, Riondato, Matteo, Zgraggen, Emanuel |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer London
2021
|
Online Access: | https://hdl.handle.net/1721.1/131797 |
Similar Items
-
Private Similarity Search with Sublinear Communication
by: Servan-Schreiber, Sacha
Published: (2022) -
Application of STPA-Sec for analyzing cybersecurity of autonomous mining systems
by: Sidhu, Amardeep Singh.
Published: (2019) -
Parameter estimation in HMMs with guaranteed convergence
by: Aiylam, Dhroova (Dhroova S.)
Published: (2018) -
Maneuvering angle rigid formations with global convergence guarantees
by: Chen, Liangming, et al.
Published: (2023) -
SchengenDB: A Data Protection Database Proposal
by: Kraska, Tim, et al.
Published: (2021)